Machine learning engineer • carlsbad ca
The research teams behind the best-known AI models come to Mercor for machine learning judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is g... Show more
You'll play a pivotal role in evolving Vuori's retail leader learning journey.You'll own our onboarding experience end-to-end while being a key player in building the ongoing, always on development... Show more
GILEAD SCIENCES, OCEANSIDE - 21002101.Varying shifts, days/hours (open availability preferred).More details will be provided during the interview process.Working with SodexoMagic is more than a job... Show more
The research teams behind the best-known AI models come to Mercor for machine learning judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is g... Show more
Under routine supervision, primarily responsible for the enhancement of existing products on our sustaining team.Involved in creating concepts and modeling and drafting designs utilizing 3D CAD sof... Show more
Maintenance associates maintain the proper working order of the hotel, hotel property and grounds.Approaches all encounters with guest and employees in a friendly, service-oriented manner.Complies ... Show more
Hybrid - 3 days on-site, 2 days remote.Required Skills: Biological License Application (BLA) fi ling experience with the FDA/regulatory agencies;Commercial manufacturing experience;Validation activ... Show more
Hydranautics is a part of the Nitto Group of companies and a global leader in the field of integrated membrane solutions which includes reverse osmosis, nanofiltration, ultrafiltration and microfil... Show more
Program Manager, Learning & Enablement.As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale.Join our colleagues in bringing o... Show more
Assistant Site Supervisor Expanded Learning Programs.Under the supervision of the Site Supervisor, the Assistant Site Supervisor Expanded Learning Programs is responsible for assisting the Site S... Show more
THIS POSITION REQUIRES AN ACTIVE US GOVERNMENT SECURITY CLEARANCE.IF YOU DO NOT HAVE A CLEARANCE, PLEASE DO NOT APPLY.SG2 Recruiting has partnered with Lumbee Holdings to spearhead the search for a... Show more
Lumenis is a global medical technology company known for innovative, energy-based solutions and exceptional customer support.Our Field Service Engineers play a critical role in ensuring our technol... Show more
The research teams behind the best-known AI models come to Mercor for machine learning judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is g... Show more
A full-service consulting firm specializing in forensic investigative services is seeking an Accident Reconstructionist to help deliver objective engineering insight for complex incident inves... Show more
Our client is a nationally recognized renewable energy developer and owner with a proven track record of delivering some of North America's largest utility-scale clean energy projects.Focused on ad... Show more
Description:* Seeking a Software Quality Assurance Engineer who will help test our software and hardware.This will involve creating test plans and test cases, executing those test runs and reportin... Show more
Mechanical Engineer (2 Roles) .Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked, and have every other Friday off.You'll take ownership of significant ... Show more
The research teams behind the best-known AI models come to Mercor for machine learning judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is g... Show more
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Principal/Sr Principal Logistics Engineer.At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and fo... Show more
The average salary range is between $ 130,000 and $ 192,280 year , with the average salary hovering around $ 130,000 year .
The average salary range is between $ 124,693 and $ 200,000 year , with the average salary hovering around $ 154,997 year .
The research teams behind the best-known AI models come to Mercor for machine learning judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against. This is a standing listing for machine learning practitioners who want AI training and evaluation work, not a specific job opening. It stays open whether or not a matching project is running this week. New projects start on short notice, so instead of posting and pulling a listing each time, we keep one open per field and draw from it when one begins. **What the work looks like** We match machine learning practitioners in the network to projects like: - Writing a modeling problem from a system you actually shipped, with the data, the objective, and the constraint, plus the reference answer a model's attempt gets graded against - Grading model-written training and evaluation code: whether the loss matches the objective, whether the eval set leaks, whether the ablation supports the conclusion drawn from it - Flagging where a model proposes an approach that would train cleanly and still fail in production, given distribution shift, label noise, or a metric that rewards the wrong behaviour Comparable machine learning projects have posted at $70 to $120 an hour, set per project by scope and depth. **What we're looking for** - Professional experience training, evaluating, or deploying machine learning systems - Clear written communication, since most of the work involves explaining your reasoning - Comfort with ambiguous tasks, and willingness to flag unclear instructions Where you trained matters less than whether you have put models in front of real users and dealt with what came back. **How it works** Apply here with your resume and confirm where you work from, then take a short AI interview, about 20 minutes total. We verify your background and add you to the machine learning pool. When a project needs machine learning expertise, we invite matching people from the pool to that specific listing. It names the rate, the hours, and the client, and any hiring decision is made there. **What to expect** This listing does not accept or reject candidates, so you will not get a decision on it. We reach out when a project matches your background. Depending on what our clients are running, that can be within a week or several months. Finishing the domain expert interview and joining every network you qualify for both improve your odds of being matched. You only need to sign up once to be eligible across all of them.
